# Research Engineer / Scientist (3D Reconstruction)

**Company:** [World Labs](https://hotfix.jobs/companies/world-labs)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Experience:** 6+ years
**Skills:** 3D Reconstruction, Multi-View Geometry, PyTorch, Python, C++, Implicit Fields, Point Clouds, Differentiable Rendering, Computer Vision, Machine Learning, Numerical Optimization, Camera Pose Estimation
**Posted:** 2026-04-22

> Develops state-of-the-art 3D reconstruction systems from real-world data using feed-forward and optimization-based methods. Requires 6+ years in computer vision/graphics/ML, proficiency in Python/C++/PyTorch, and expertise in 3D representations.

## Job Description

## What You Will Do
- Design and implement modern 3D reconstruction systems, including feed-forward and optimization-based approaches for geometry, appearance, and scene understanding.
- Research, prototype, and productionize advanced 3D representations (e.g., implicit functions, point-based or volumetric methods, hybrid representations) with a focus on accuracy, efficiency, and scalability.
- Develop and improve optimization pipelines for multi-view reconstruction, including camera pose estimation, joint geometry/appearance optimization, and robust loss formulations.
- Build end-to-end training and evaluation workflows for 3D reconstruction models, from data preparation and supervision strategies to large-scale experiments and metrics.
- Collaborate with data and infrastructure teams to ensure reconstruction methods integrate cleanly with existing 3D data pipelines, rendering systems, and downstream applications.
- Analyze failure modes and data quality issues in real-world reconstruction scenarios, and design principled solutions to improve robustness and generalization.
- Optimize performance across the stack, including memory usage, training speed, and inference latency, to support large-scale datasets and production constraints.
- Contribute to technical direction by proposing new research ideas, mentoring teammates, and helping set best practices for 3D reconstruction across the organization.

## Key Qualifications
- 6+ years of experience working on 3D reconstruction, multi-view geometry, or related areas in computer vision, graphics, or machine learning.
- Strong foundation in modern 3D reconstruction techniques, including feed-forward neural methods or optimization-based approaches.
- Deep experience with 3D representations and their tradeoffs (e.g., **implicit fields**, point-based methods, meshes, volumes) or with large-scale optimization pipelines for reconstruction.
- Proficiency in **Python** and/or **C++**, with hands-on experience building research or production systems.
- Experience with deep learning frameworks (e.g., **PyTorch**) and numerical optimization tools.
- Familiarity with rendering, differentiable rendering, or graphics pipelines, and how they interact with reconstruction systems.

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